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Data Cleansing Jobs in Oregon (NOW HIRING)

OR

$69 - $85.50/hr

Design rules and processes for data cleansing, normalization, and enrichment to ensure completeness and accuracy of migrated and integrated data. * Establish data quality KPIs and continuously ...

FFEO FORGE Statistician

Hillsboro, OR · On-site

$162 - $228/hr

Strong ability to work with data structures, perform data cleansing, and ensure data quality. Preferred Qualifications * Experience with business intelligence solutions and reporting tools that ...

New

... perform data cleansing, and ensure data quality. Preferred Qualifications - Experience with business intelligence solutions and reporting tools that support data-driven decision-making ...

Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations ...

Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations ...

MDM PIM Manager

Portland, OR · On-site

$99K - $232K/yr

Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations ...

ERP AI Engineer - Manager

Portland, OR · On-site

$99K - $232K/yr

You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle ...

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Showing results 1-20

Data Cleansing information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do data cleansing jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data cleansing in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

What is data cleansing?

A Data Cleansing job involves identifying and correcting inaccuracies, inconsistencies, and errors in datasets to ensure data quality and reliability. Professionals in this role clean data by removing duplicates, standardizing formats, handling missing values, and validating information. This process improves the accuracy of business insights, enhances decision-making, and optimizes data-driven operations. Data cleansing is commonly required in industries such as marketing, finance, healthcare, and e-commerce, where accurate data is essential for efficiency and compliance.

What are the key skills and qualifications needed to thrive in data cleansing, and why are they important?

To thrive in Data Cleansing, you need strong analytical skills, attention to detail, and familiarity with data management concepts—ideally supported by a degree in information technology, computer science, or a related field. Proficiency with tools such as Microsoft Excel, SQL, data profiling tools, and, in some cases, data integration platforms or data quality software is highly valuable. Excellent problem-solving abilities, strong communication, and the ability to work both independently and collaboratively are crucial soft skills. These competencies are essential for ensuring the accuracy, consistency, and usability of organizational data, which directly impacts decision-making and operational efficiency.

What are some common challenges faced in data cleansing?

Data Cleansing professionals often encounter challenges such as handling large volumes of inconsistent or incomplete data, identifying duplicate entries, and ensuring accuracy while meeting tight deadlines. They may also need to work with data from multiple sources and formats, requiring adaptability and strong technical know-how. Collaboration with data analysts, IT teams, and business stakeholders is common to ensure the cleaned data meets organizational needs. Overcoming these challenges helps maintain data integrity and directly supports effective business operations.

Is data cleansing hard?

Data cleansing as a job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets, which can require attention to detail and familiarity with tools like Excel or specialized software. The difficulty depends on the complexity and size of the data, but it generally requires patience and analytical skills.

What cities in Oregon are hiring for Data Cleansing jobs?

Cities in Oregon with the most Data Cleansing job openings:

Infographic showing various Data Cleansing job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Full-time

Re-posted 6 days ago


Job description

Role : Ivanti Database Analyst
Location : Salem, Oregon - Remote
Only W2,
GC/USC
Required skills and experience:
The key person must have similar, recent experience supporting the launch of Ivanti tools, including recent, relevant experience:
  • Hands-on ETL experience migrating from legacy ITAM data to Ivanti.
  • Experience mapping legacy records to Ivanti object structures.
  • Experience with data cleansing, validation, standardization, and purging as part of an Ivanti implementation.
  • Proven ability to detect and resolve data anomalies and discrepancies.
  • In-depth understanding of Ivanti data mapping and platform capabilities.
  • In-depth knowledge of industry best practices for data modeling, cleansing, and migration.
  • Demonstrated experience in relational database design, development, and analysis.
  • Strong SQL skills (e.g., PostgreSQL, SQL Server, Oracle).
  • Familiarity with CI relationships and CMDB structures in an ITSM/ITAM context.
  • Ability to clearly document schema designs, data definitions, and mapping logic.
  • Experience working in large public sector environments.
  • Ability to work independently, manage competing priorities, and work collaboratively with state staff.

In addition, the ideal candidate will have skills and experience in:
  • Ivanti ITSM and Neurons for Discovery/Configuration.
  • Familiarity with CA Service Desk Manager (SDM) and Asset Portfolio Management (APM).
  • Knowledge of ITIL v4 practices, especially Asset Management, Configuration Management, and Change Enablement.
  • Experience with CMDB best practices and automated discovery tools.
  • Understanding of service catalog structure and line-item-level procurement workflows.
  • Experience working on state government or similar public sector IT projects.
  • Building and managing scalable, clean, and auditable datasets in support of enterprise ITSM and ITAM solutions.
  • Experience performing knowledge transfer / mentoring.